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Prediction methods and influencing factors on the viscosity of nanofluids using machine learning: A comprehensive review

Shuangcen LiSichuan University Jinjiang College, Meishan, Sichuan 620860, ChinaAli BasemAdvanced Technical College, University of Warith Al-Anbiyaa, Karbala, IraqAhmed Kateb Jumaah Al-NussairiMathematics Department, College of Basic Education, University of Misan, Misan, 62001, IraqNarinderjit Singh Sawaran SinghFaculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai 71800, MalaysiaAhmed Rasol HassonAlsalam University CollegeMuyassar NorberdiyevaDepartment of Chemistry and Its Teaching Methods, National Pedagogical University of Uzbekistan, Tashkent, UzbekistanM. KhajehkhabazDepartment of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, IranSoheil SalahshourFaculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, TurkeyHani SahramaneshiFast Computing Center, Shabihsazan Ati Pars, Tehran, Iran

International Communications in Heat and Mass Transferjournal2026en

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ABI

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Annotatsiya mavjud emas.

Mavzular

Nanofluid Flow and Heat Transfer Power Transformer Diagnostics and Insulation Enhanced Oil Recovery Techniques

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DOI: 10.1016/j.icheatmasstransfer.2026.111201

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